MySQL select dates in 30-day range?

To select dates in 30-day range, you can use arithmetic operation - with interval.

The syntax is as follows −

select *from yourTableName where yourDateColumnName > NOW() - INTERVAL 30 DAY and yourDateColumnName < NOW() + INTERVAL 30 DAY;

To understand the above syntax, let us create a table. The query to create a table is as follows −

mysql> create table selectDatesDemo    -> (    -> Id int NOT NULL AUTO_INCREMENT PRIMARY KEY,    -> ArrivalDate datetime    -> ); Query OK, 0 rows affected (0.77 sec)

Now you can insert some records in the table using insert command. The query is as follows −

mysql> insert into selectDatesDemo(ArrivalDate) values('2019-01-10'); Query OK, 1 row affected (0.12 sec) mysql> insert into selectDatesDemo(ArrivalDate) values('2019-01-29'); Query OK, 1 row affected (0.21 sec) mysql> insert into selectDatesDemo(ArrivalDate) values('2019-02-13'); Query OK, 1 row affected (0.14 sec) mysql> insert into selectDatesDemo(ArrivalDate) values('2019-02-19'); Query OK, 1 row affected (0.14 sec) mysql> insert into selectDatesDemo(ArrivalDate) values('2018-02-13'); Query OK, 1 row affected (0.17 sec) mysql> insert into selectDatesDemo(ArrivalDate) values('2018-03-13'); Query OK, 1 row affected (0.19 sec)

Display all records from the table using select statement. The query is as follows −

mysql> select *from selectDatesDemo;

Here is the output −

+----+---------------------+ | Id | ArrivalDate | +----+---------------------+ | 1 | 2019-01-10 00:00:00 | | 2 | 2019-01-29 00:00:00 | | 3 | 2019-02-13 00:00:00 | | 4 | 2019-02-19 00:00:00 | | 5 | 2018-02-13 00:00:00 | | 6 | 2018-03-13 00:00:00 | +----+---------------------+ 6 rows in set (0.00 sec)

Here is the query to select dates in 30-day range −

mysql> select *from selectDatesDemo -> where ArrivalDate > NOW() - INTERVAL 30 DAY -> and ArrivalDate < NOW() + INTERVAL 30 DAY;

The following is The output −

+----+---------------------+ | Id | ArrivalDate | +----+---------------------+ | 3 | 2019-02-13 00:00:00 | | 4 | 2019-02-19 00:00:00 | +----+---------------------+ 2 rows in set (0.04 sec)